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RAG re-derives everything on every query, so nothing accumulates. This is the Raw and Wiki folder layout, the three control files, and the daily, weekly and monthly jobs I use to keep an AI context layer my agents can read.
WordPress.com opened the AI Assistant to every paid plan and shipped Studio Code, a beta CLI agent for local work. Notes on what the CLI does with block markup and what the plan change means day to day.
The WooCommerce REST API documentation left its 4.2MB single-page site for per-endpoint files on developer.woocommerce.com. What that changes for coding assistants, raw markdown fetches, and doc updates that ship inside the PR.
Vision models and language models look like separate brains, but as they scale their internal structures line up. A look at the Platonic Representation Hypothesis, the pressures behind convergence, and what it means for the data assets you build.
Dumping PDFs into a vector store is why RAG systems hallucinate and cost too much. This covers curating the source data, chunking by meaning, quantizing vectors, mixing BM25 with vector search through RRF, and testing retrieval with DeepEval.
Claude Code gets more reliable when it can run its own output: unit tests through WP-CLI, parallel prompts compared against the goal, and Chrome screenshots over MCP for front-end work. Also why an agent looping with no check-in is worse than no loop.
AI coding tools copy whatever patterns already exist in a repo and know nothing about battery budgets or packet sizes. In IoT that combination turns into technical debt faster than a team can refactor it away.
Notes from moving a Connect Four agent off tabular Q-learning and onto a DQN: why correlated updates destabilize the network, how action masking handles full columns, where the GIL caps throughput, and why the agent learned attack before defense.
An LLM can retrieve the right document and still quote the wrong price. This is the detection and healing layer I built to catch that: five failure patterns, a faithfulness score, deterministic patches, and a SQLite drift monitor that caught a real bug in staging.